Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
PokeLLMon: A Human-Parity Agent for Pokemon Battles with Large Language Models
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2402.01118.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T22:50:32.670870Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T00:39:17.308922Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation d946cc2d-b2da-4568-9618-58acdc260fe8 · inbound
Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers cites this paper.
Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers PokeLLMon: A Human-Parity Agent for Pokemon Battles with Large Language Models
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T22:50:32.670870Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ca8a9147-d0ec-4a91-8cb8-19f109551cf5 · inbound
Orak: A Foundational Benchmark for Training and Evaluating LLM Agents on Diverse Video Games cites this paper.
Orak: A Foundational Benchmark for Training and Evaluating LLM Agents on Diverse Video Games PokeLLMon: A Human-Parity Agent for Pokemon Battles with Large Language Models
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T12:02:16.598182Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a82b0163-68eb-4292-87b9-5136b0fe8989 · inbound
Automated Skill Discovery for Language Agents through Exploration and Iterative Feedback cites this paper.
Automated Skill Discovery for Language Agents through Exploration and Iterative Feedback PokeLLMon: A Human-Parity Agent for Pokemon Battles with Large Language Models
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:03:26.888965Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8e35ae61-48f3-4bda-a3ec-be64a044ae68 · inbound
InstantEdit: Text-Guided Few-Step Image Editing with Piecewise Rectified Flow cites this paper.
InstantEdit: Text-Guided Few-Step Image Editing with Piecewise Rectified Flow PokeLLMon: A Human-Parity Agent for Pokemon Battles with Large Language Models
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T23:01:12.409742Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 856928a0-1c20-4b86-aa80-a186cc6a685c · inbound
Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning cites this paper.
Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning PokeLLMon: A Human-Parity Agent for Pokemon Battles with Large Language Models
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T23:04:40.583976Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 37e15f8e-9e20-42f3-b515-e38236208f3f · inbound
Think in Games: Learning to Reason in Games via Reinforcement Learning with Large Language Models cites this paper.
Think in Games: Learning to Reason in Games via Reinforcement Learning with Large Language Models PokeLLMon: A Human-Parity Agent for Pokemon Battles with Large Language Models
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:23:24.541597Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 45738616-ddc0-4726-a31f-e41d1a608ac9 · inbound
PokeRL: Reinforcement Learning for Pokemon Red cites this paper.
PokeRL: Reinforcement Learning for Pokemon Red PokeLLMon: A Human-Parity Agent for Pokemon Battles with Large Language Models
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T10:06:04.898354Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ef5a1e01-3d36-41b0-bd3f-794aac31f801 · inbound
RTSGameBench: An RTS Benchmark for Strategic Reasoning by Vision-Language Models cites this paper.
RTSGameBench: An RTS Benchmark for Strategic Reasoning by Vision-Language Models PokeLLMon: A Human-Parity Agent for Pokemon Battles with Large Language Models
Reference 20
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T00:39:17.310450Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.